Founding Program Lead & Client Engagement

Job Description

We are working with a venture-backed start-up dedicated to providing expert and scientific data for life-sciences AI. The team operates as a guild of practicing pharma scientists who manually curate the data that powers the next generation of AI models. With core offerings include providing study-ready curated datasets (spanning biomarkers, RNA-seq, and multi-omics), model evaluation to grade and rewrite frontier model outputs, and rigorous safety reviews for dual-use research.

Role Overview:

We are seeking a multidisciplinary operations leader with a strong track record in fast-paced start-up environments across the healthcare and technology sectors. As the Founding Program Lead / Client Engagement, you will be instrumental in managing customer operations and delivery for Generative AI clients training foundational LLMs. You will sit at the intersection of our scientific guild and our strategic partners, ensuring the successful delivery of high-quality data while driving business growth.

Key Responsibilities:

• Manage customer operations and end-to-end programmatic delivery for clients developing foundational life-sciences AI models.
• Lead model development programs, which includes gathering client requirements, running complex data labelling and annotation operations, and formulating comprehensive model development strategies.
• Spearhead business development and strategy, actively securing new strategic customer engagements and partnerships to expand our footprint in the biopharma space.
• Oversee the generation, management, and delivery of curated datasets involving large-scale RNA-sequencing, proteomics, and multi-omics.
• Lead client engagements that support the use of complex, multimodal data (including structured and unstructured records) to drive R&D and pipeline decision-making.
• Drive product innovation, go-to-market strategies, and operational efficiency across our data offerings, managing significant quarterly revenue goals.

Ideal Qualifications & Profile:

• Education: PhD in Chemical Biology, Biological and Biomedical Sciences, or a highly related scientific discipline. Additional background in Applied Math and Statistics is highly valued.
• AI & Operations Experience: Proven experience managing customer operations and delivery for Generative AI clients, particularly those actively training foundational LLMs.
• Scientific Expertise: Deep, hands-on understanding of oncology drug discovery, translational science, and the bioinformatic analysis of multi-omics data.
• Technical Acumen: Strong familiarity with NLP model development, annotation platform management, and handling data pipelines for structured, unstructured, and multimodal healthcare data.
• Leadership & Business Skills: Exceptional skills in Account Management, Project Management, and Consulting, with a demonstrated history of taking ownership of substantial revenue streams and client outcomes.
• Industry Background: Previous experience managing product development or operational strategy for SaaS products, clinical trial optimization, or digital health data platforms